pkgx
pipx
pkgx | pipx | |
---|---|---|
47 | 38 | |
8,716 | 8,913 | |
0.7% | 3.7% | |
9.0 | 9.3 | |
7 days ago | 4 days ago | |
TypeScript | Python | |
Apache License 2.0 | MIT License |
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
pkgx
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Install Asdf: One Runtime Manager to Rule All Dev Environments
I’m liking pkgx over asdf as it can activate project tooling upon cd’ing into a project folder.
https://pkgx.sh
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Show HN: Flox 1.0 – Open-source dev env as code with Nix
I saw some alternatives being suggested and wanted to do the same (Also, so that I can look back at this item, through my comments :) ). Started using https://pkgx.sh/ lately. I know it has some baggage with tea.xyz and crypto, but it is also easy to get started with.
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Beginners Intro to Trunk Based Development
Secondly, our development environments must not drift, because then code may behave differently and a change could pass on our machine but fail in production. There are many tools for locking down environments, e.g nix, pkgx, asdf, containers, etc., and they all share the common goal of being able to lock down dependencies for an environment accurately and deterministically. And that needs to be enforced in our local workflow so we don't have to rely on CI environments for correctness. All developers must have environments that are effectively identical to what runs in CI (which itself should be representative of the production environment).
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Practical Guide to Trunk Based Development
There are many ways this can be done (e.g nix, pkgx, asdf, containers, etc.), and we won’t get into which specific tools to use, because we'll instead cover the essential essence of preventing environment drift:
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5 Developer CLI Essentials
1. pkgx
- FLaNK Stack Weekly for 14 Aug 2023
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How to send a warm welcome email with Resend, Next-Auth and React-Email
Before diving in, it's a good idea to have a package manager handy, like tea. It'll handle your development environment and simplify your life!
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Announcing tea/gui - The Open Store for Open-Source
Direct fast-track link to repo
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Looking to help out on some open source projects
checkout https://github.com/teaxyz/cli and https://github.com/teaxyz/pantry
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Run llama.cpp with tea – without the installation pain!
Install is tea: sh <(curl https://tea.xyz) and
pipx
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Keep your AWS CLI config fresh with Cog
Use pipx to install Cog and my aws-sso-config-builder tool in the same environment:
- pipx
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Implementing Quality Checks In Your Git Workflow With Hooks and pre-commit
Given how useful pre-commit is across projects I generally recommend installing via pip install --user, making it part of a tooling virtual environment, or using pipx:
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pipx VS instld - a user suggested alternative
2 projects | 9 Dec 2023
- Pipx – Install and Run Python Applications in Isolated Environments
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Packaging a self contained CLI application for any environment?
I would recommend going with PipX. You toss in a setup.py file, put your project on github, and then anyone on any OS can pipx install your project. It's a glorious thing. The only thing they need is 1) some supported version of Python installed, 2) pipx installed. They can even get updates by calling pipx upgrade.
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Some confusion with system version and pyenv
See https://github.com/pypa/pipx/issues/278
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List of software package management systems
Good overview. There are quite a few on there I was not aware of. That said, I am not sure the organizational schema makes a tone of sense. I would assume most users that come across this would be looking for a package manager for a specific platform and then weighing the options of binary/source/etc., instead of the other way around.
Also, pipx (https://github.com/pypa/pipx) would be a good addition to the list. I'd add it but I'm not sure where it would go. Maybe every section? It's cross platform and handles both binary and source based app distributions.
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After using Python for over 2 years I am still really confused about all of the installation stuff and virtual environments
Pip is pretty simple and useful for me - you have your own environment for every script/program, requirements.txt is simple to understand too... It's kinda good solution for regular users... For more complex projects we have Poetry, PipX, that was inspired by NPM(x), I think...
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Apple Unveils MacBook Pro Featuring M2 Pro and M2 Max
What benefit would joining your cult bestow upon me that brew does not already?
My brew list is intentionally very short and my faffing about desire is limited.
Generally I use brew to pull in asdf (https://github.com/asdf-vm/asdf) to install programming languages/tooling, it works flawlessly.
I use Pipx (https://github.com/pypa/pipx) to install python thingies (such as yt-dlp) as a cli. Go and Rust handle binaries in their languages beautifully and without issues.
What are some alternatives?
nix - Nix, the purely functional package manager
Poetry - Python packaging and dependency management made easy
litellm - Call all LLM APIs using the OpenAI format. Use Bedrock, Azure, OpenAI, Cohere, Anthropic, Ollama, Sagemaker, HuggingFace, Replicate (100+ LLMs)
opstrat - Option visualization python package
Llama-2-Onnx
Lean and Mean Docker containers - Slim(toolkit): Don't change anything in your container image and minify it by up to 30x (and for compiled languages even more) making it secure too! (free and open source)
macports-base - The MacPorts command-line client
dust - A more intuitive version of du in rust
symmetric-ds - SymmetricDS is database replication and file synchronization software that is platform independent, web enabled, and database agnostic. It is designed to make bi-directional data replication fast, easy, and resilient. It scales to a large number of nodes and works in near real-time across WAN and LAN networks.
private-pypi - private pypi server
white-paper - how will the protocol work?
Pyjion